Jessy Mouannes Srour1, John Lee2, Colin Derdeyn2,3, Wanyong Shin4, Timothy J. Carroll1,5
1Biomedical Engineering, Northwestern University, Chicago, IL, USA; 2Radiology, Washington University in Saint Louis, Saint Louis, MO, USA; 3Neurology & Neurological Surgery, Washington University in Saint Louis, Saint Louis, MO, USA; 4Imaging Institute, Mellen Center, The Cleveland Clinic, Cleveland, OH, USA; 5Radiology, Northwestern University, Chicago, IL, USA
A new correction model for arterial-tissue delay and dispersion in dynamic susceptibility contrast MR imaging has been developed. It is shown to provide more accurate cerebral blood flow (CBF) values than existing deconvolution methods through numerical simulations. Direct validation of this model is also presented through a correlational analysis of CBF values measured with the Bookend technique for cerebral perfusion quantification and those obtained with gold standard positron emission tomography (PET), in a series of patients with confirmed cerebrovascular occlusive disease.